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Research on the Robustness of Air Transportation System Based on Complex Network

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DOI: 10.23977/cpcs.2023.070109 | Downloads: 5 | Views: 330


Zejian Liu 1, Limin Liu 1


1 Zhejiang Wanli University, Ningbo, China

Corresponding Author

Zejian Liu


Air transportation has the characteristics of fast transportation, high transportation efficiency and independent of ground conditions, so the economic benefits brought by air transportation greatly exceed those of other transportation modes. However, the safety of the air transportation system is constantly challenged. In recent years, the natural environment has changed due to rapid economic development, and meteorological disasters have occurred from time to time. In addition, flight cancellations due to airline aircraft turnarounds, technical aircraft failures, and traffic jams at airport terminals have become commonplace. To address the problem of insufficient stability of China's air transportation system, cities and flights with civil airports existing by the third quarter of 2022 are taken as the research objects, and the network model of China's air transportation system is constructed by using Ucinet software with the cities where airports are located as nodes and regular routes between airports as connecting edges. Then, robustness simulation experiments are conducted by random and intentional disruptions to analyze the extent to which the network can maintain its normal operation after the nodes in the network are down. The conclusions show that the robustness of the Chinese air transport network is better than that of the intentional disturbance in the case of random disturbance. Finally, suggestions for countermeasures that can improve the stability of the air transportation system are given.


Complex networks, air transportation, network structure, robustness analysis


Zejian Liu, Limin Liu, Research on the Robustness of Air Transportation System Based on Complex Network. Computing, Performance and Communication Systems (2023) Vol. 7: 73-81. DOI:


[1] Zhang Heng. Study on the impact of air transportation network on the development of regional tourism in China. Business Watch, 2022, No.163 fih33):21-24.
[2] Yin Fou, Mei Shen. The Ministry of Transportation and Communications released the Statistical Bulletin of Transport Industry Development in 2021. Waterways and Ports, 2022, 43(03):346.
[3] Zhao Weiwei, Li Guangzhi. Analysis of the relationship between air transportation and regional economic development and its role mechanism. Geographical Research and Development, 2018, 37(01):16-19.
[4] Gao Guozhu. Research topics on issues related to safety and jurisdiction of civil air transportation. Journal of Beijing University of Aeronautics and Astronautics (Social Science Edition), 2020, 33(04):121.
[5] Zhou T, Bo WJ, Wang BH, Liu ZJ, Yan G. Overview of complex network research. Physics, 2005(01):31-36.
[6] Tan YJ, Wu J, Deng HZ, Zhu DZ. A review of complex network destructibility research. Systems Engineering, 2006(10):1-5.
[7] Watts D J, Strogatz S H. Collective dynamics of 'small-world' network. Nature, 1998, 393(6684):440.
[8] Timothy Donnet et al. Developing a Queensland (Australia) aviation network strategy: Lessons from three international contexts. Journal of Air Transport Management, 2018, 73:1-14.
[9] Bauranov Aleksandar et al. Quantifying the Resilience of the U.S. Domestic Aviation Network During the COVID-19 Pandemic
 Frontiers in Built Environment, 2021, 7
[10] Bogdanov I. P. Optimal Passenger Transportation Planning in a Regional Air Network. Mathematical Models and Computer Simulations, 2021, 13(03):408-415.
[11] Xu Kaijun, Xiao Chengkun, Yang Yong, Wu Jiayi. Directional weighted analysis of Chinese urban airline network based on complex network theory. Science Technology and Engineering, 2021, 21(36):15669-15673.
[12] Supun Perera et al. Topological rationality of supply chain networks. International Journal of Production Research, 2020, 58(10):3126-3149.
[13] Łukasz Wolniewicz. Literature Review on the Rail Transport Schedule Robustness. Journal of KONBiN, 2020, 50(02):339-358.
[14] Liu Xinmeng. Robust optimization scheme for railroad cargo express service network. Shandong Science, 2017, 30(03): 66-73+88. 

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